Generative AI Design Patterns

Solutions to Common Challenges When Building Genai Agents and Applications
Generative AI enables powerful new capabilities, but they come with some serious limitations that you'll have to tackle to ship a reliable application or agent. Luckily, experts in the field have compiled a library of 32 tried-and-true design patterns to address the challenges you're likely to encounter.

Generative AI enables powerful new capabilities, but they come with some serious limitations that you'll have to tackle to ship a reliable application or agent. Luckily, experts in the field have compiled a library of 32 tried-and-true design patterns to address the challenges you're likely to encounter when building applications using LLMs, such as hallucinations, nondeterministic responses, and knowledge cutoffs.

This book codifies research and real-world experience into advice you can incorporate into your projects. Each pattern describes a problem, shows a proven way to solve it with a fully coded example, and discusses trade-offs.

• Design around the limitations of LLMs
• Ensure that generated content follows a specific style, tone, or format
• Maximize creativity while balancing different types of risk
• Build agents that plan, self-correct, take action, and collaborate with other agents
• Compose patterns into agentic applications for a variety of use cases

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